Abstract

The nodes in the Ad hoc networks are independent and well structured. We know that a couple of nodes can interact with one another, if they have entered into the opponent transition region. For this purpose wireless means is being utilized by the nodes. The tiniest creature in the world visible to the eye is ant. It is also found that they have a special character called as swarm intelligence. This is because of their intricate and communicative character. Some of the characters of ant such as finding the path and moving in a queue depending on the neighboring atmosphere show the astuteness of them. Apart from that they have also the character of determining the nearest path, and perform together in a set. By considering these things, we have designed our approach from the organically stimulated feature and utilized in MANETs routing. Here our approach has been designed with an algorithm that has been motivated from the Swarm intelligence to attain these features. Considering the external collection of experiments, we have made a contrast of the proposed algorithm and the state-of-the-art algorithm and it has been illustrated that our proposed one gives the enhanced results in the entire variant situations for a variant calculations and parameters. The main feature that is to be presented is that this method balances all the nodes in the network.

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